Since it is compatible with CMOS processes of classic silicon technology, SiC would be ideal for the industrial mass ...

Researchers have developed a novel “Janus meta-imager” that uses diffractive neural networks to asymmetrically transmit and ...

Silicon carbide is for photonic circuits and quantum devices. Atomic layer processing boosts SiC waveguides and resonators, improving performance.

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Silicon carbide (SiC) is a promising material platform for photonic integrated circuits (PICs) and miniaturized solid-state quantum systems. In the ALP-4-SiC project, researchers from the Max Planck ...

Better understanding of the design, implementation and operation of these cyber-physical systems can enable optimized process ...

A team of researchers from Peking University, Beijing Institute of Technology, and the Chinese Academy of Sciences has developed a new optical device ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

This optical supercell traps sunlight, then amplifies its intensity up to 6,000×, creating a light surge scientists compare to thousands of panels ...

Industry leaders in film, music and technology gathered at the Future of Arts, Media and Entertainment (FAME) Conference to ...

This post features biographies and notable quotes from oral history interviews with planetary geophysicist Lynnae Quick, ...

Transforming the chemicals industry, AI application models enhance formulation development, enabling rapid, accurate responses to evolving market demands.